Filters With Small Non-linearities
Robert James Elliott · 2005
The Kalman filter provides a finite dimensional solution when the signal and observation processes are linear and have Gaussian noise. In this paper the effect of a small non- linearity in the signal is discussed by considering stochastic flows for the signal and a Girsanov transformation for the observation. The result can be expressed in terms of Gaus- sian densities.